Operational Risk Specialist

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CloudWalk, Inc.

SiteLinkedInTodas as Vagas

201 - 500 funcionários

💳 Fintech

🤖 Inteligência Artificial

💰 $150.000.000 Series C em 2021-11

Fintech • Blockchain • Artificial Intelligence

CloudWalk, Inc. tem como foco revolucionar a indústria de pagamentos, democratizando os serviços financeiros e empoderando empreendedores por meio de soluções inovadoras. Sua missão é criar uma rede de pagamentos justa e tecnologicamente avançada na Terra e além. Utilizando IA e blockchain, a CloudWalk oferece produtos como o InfinitePay, uma plataforma financeira que atende empresas no Brasil, e o JIM, um sistema de pagamentos instantâneos nos EUA. A Stratus, sua blockchain de alta performance, dá suporte a redes globais de pagamentos. A CloudWalk enfatiza o engajamento do cliente e modelos econômicos disruptivos para transformar a maneira como os comerciantes vendem e lucram.

Descrição

• Design, implement, and maintain the Operational Risk Management Framework in line with BACEN regulations. • Identify, assess, and monitor operational risk exposures, especially in fraud and IT-related processes. • Develop and validate AI/ML models for fraud detection, anomaly identification, and operational risk quantification. • Build and maintain AI agents to automate operational risk workflows — such as loss event tracking, KRI monitoring, and incident reporting. • Establish and monitor Key Risk Indicators (KRIs) and Risk and Control Self-Assessments (RCSAs) for ongoing risk tracking. • Collaborate with Data Science, Engineering, and Compliance teams to embed risk controls into product and process design. • Conduct scenario analyses and stress tests to evaluate operational resilience and inform management decisions. • Prepare clear and insightful risk reports and dashboards for senior management and regulatory audiences.

🎯 Requisitos

• Strong knowledge of BACEN operational risk regulations (Res. BCB 265/2022, Res.4.557/2017, Circ.3.978/2020, and related standards). • Deep understanding of the payments ecosystem, including acquirer, sub-acquirer, and issuer operations. • Proven experience in fraud prevention and detection across the full fraud lifecycle — onboarding, monitoring, disputes, and recovery. • Expertise in developing and validating machine learning (ML) and AI models for fraud and risk management. • Programming and data analysis proficiency (Python, SQL, R) for scenario simulation, model validation, and automation. • Ability to design and deploy AI agents to automate risk management workflows. • Knowledge of IT and cybersecurity risk frameworks (NIST, COBIT, ISO 27001) and integration into operational risk practices. • Experience managing KRIs, RCSAs, and risk dashboards for management and regulatory reporting.

🏖️ Benefícios

• Professional development opportunities • Flexible working arrangements